Lifecolor UA201 Gelbbraun RAL 8020 is a high-quality acrylic modeling paint with a volume of 22 ml, dedicated to modelers seeking to achieve an authentic finish on historical military models. The presented Gelbbraun RAL 8020 shade was one of the distinctive colors used by the German armed forces during World War II, especially on armored vehicles and military equipment operating in the desert conditions of the North African campaign from 1941 to 1943. This shade was officially introduced as the Afrika Korps (Deutsches Afrika Korps – DAK) desert camouflage and played a key role in camouflaging armored vehicles, trucks, and motorcycles from El Alamein to Tunisia.

Lifecolor acrylic paints stand out not only for their historical color accuracy but also for their excellent adhesion to a variety of surfaces. The water-based formulation makes the paint virtually odorless, non-toxic, and very convenient to use for both beginner and advanced modelers. The product works perfectly on materials such as plastic, resin, metal, vinyl, wood, fabric, or ceramic, making it a universal choice for builders of military vehicle models, dioramas, and figurines alike.

• Volume: 22 ml – ideal for both smaller details and larger surfaces
• Consistency: paint designed for brush and airbrush application
• Type: water-based acrylic
• Category: professional model acrylic paint
• Color: Gelbbraun RAL 8020 (historically accurate for World War II, Afrika Korps)
• Finish: matte, perfect for realistic camouflage effects

We especially recommend Lifecolor UA201 Gelbbraun RAL 8020 to modelers passionate about German vehicles from World War II—both beginners and advanced. The paint allows you to achieve historical realism and detail on 1/35, 1/48, 1/72, and other scale models. It is also suitable for dioramists and historical figure collectors. We rate its ease of use at 2 out of 5—the paint is easy to apply, has good coverage, and allows for easy shading and weathering effects. It is a reliable choice for anyone who values the highest quality in historical modeling.